Dataset statistics
| Number of variables | 28 |
|---|---|
| Number of observations | 15848 |
| Missing cells | 15848 |
| Missing cells (%) | 3.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.5 MiB |
| Average record size in memory | 232.0 B |
Variable types
| Categorical | 11 |
|---|---|
| DateTime | 1 |
| TimeSeries | 13 |
| Numeric | 3 |
Timeseries statistics
| Number of series | 13 |
|---|---|
| Time series length | 15848 |
| Starting point | 2000-01-01 00:00:00 |
| Ending point | 2010-12-31 00:00:00 |
| Period | 6 hours, 5 minutes and 1.46 second |
State Code has constant value "4" | Constant |
County Code has constant value "19" | Constant |
Site Num has constant value "1011" | Constant |
Address has constant value "1237 S. BEVERLY , TUCSON" | Constant |
State has constant value "Arizona" | Constant |
County has constant value "Pima" | Constant |
City has constant value "Tucson" | Constant |
NO2 Units has constant value "Parts per billion" | Constant |
O3 Units has constant value "Parts per million" | Constant |
SO2 Units has constant value "Parts per billion" | Constant |
CO Units has constant value "Parts per million" | Constant |
CO 1st Max Value is highly overall correlated with CO AQI and 5 other fields | High correlation |
CO AQI is highly overall correlated with CO 1st Max Value and 5 other fields | High correlation |
CO Mean is highly overall correlated with CO 1st Max Value and 5 other fields | High correlation |
NO2 1st Max Value is highly overall correlated with CO 1st Max Value and 4 other fields | High correlation |
NO2 AQI is highly overall correlated with CO 1st Max Value and 4 other fields | High correlation |
NO2 Mean is highly overall correlated with CO 1st Max Value and 5 other fields | High correlation |
O3 1st Max Value is highly overall correlated with O3 AQI and 1 other fields | High correlation |
O3 AQI is highly overall correlated with O3 1st Max Value and 1 other fields | High correlation |
O3 Mean is highly overall correlated with CO 1st Max Value and 5 other fields | High correlation |
SO2 1st Max Hour is highly overall correlated with SO2 AQI | High correlation |
SO2 1st Max Value is highly overall correlated with SO2 AQI and 1 other fields | High correlation |
SO2 AQI is highly overall correlated with SO2 1st Max Hour and 2 other fields | High correlation |
SO2 Mean is highly overall correlated with SO2 1st Max Value and 1 other fields | High correlation |
SO2 AQI has 7924 (50.0%) missing values | Missing |
CO AQI has 7924 (50.0%) missing values | Missing |
NO2 Mean is non stationary | Non stationary |
NO2 1st Max Value is non stationary | Non stationary |
NO2 1st Max Hour is non stationary | Non stationary |
NO2 AQI is non stationary | Non stationary |
O3 Mean is non stationary | Non stationary |
O3 1st Max Value is non stationary | Non stationary |
O3 1st Max Hour is non stationary | Non stationary |
O3 AQI is non stationary | Non stationary |
SO2 Mean is non stationary | Non stationary |
SO2 1st Max Value is non stationary | Non stationary |
SO2 1st Max Hour is non stationary | Non stationary |
CO Mean is non stationary | Non stationary |
CO AQI is non stationary | Non stationary |
NO2 Mean is seasonal | Seasonal |
NO2 1st Max Value is seasonal | Seasonal |
NO2 1st Max Hour is seasonal | Seasonal |
NO2 AQI is seasonal | Seasonal |
O3 Mean is seasonal | Seasonal |
O3 1st Max Value is seasonal | Seasonal |
O3 1st Max Hour is seasonal | Seasonal |
O3 AQI is seasonal | Seasonal |
SO2 Mean is seasonal | Seasonal |
SO2 1st Max Value is seasonal | Seasonal |
SO2 1st Max Hour is seasonal | Seasonal |
CO Mean is seasonal | Seasonal |
CO AQI is seasonal | Seasonal |
NO2 1st Max Hour has 1628 (10.3%) zeros | Zeros |
SO2 Mean has 678 (4.3%) zeros | Zeros |
SO2 1st Max Value has 678 (4.3%) zeros | Zeros |
SO2 1st Max Hour has 1930 (12.2%) zeros | Zeros |
SO2 AQI has 456 (2.9%) zeros | Zeros |
CO 1st Max Hour has 4740 (29.9%) zeros | Zeros |
Reproduction
| Analysis started | 2024-07-15 20:32:17.224341 |
|---|---|
| Analysis finished | 2024-07-15 20:33:00.089248 |
| Duration | 42.86 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
State Code
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| 4 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 15848 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 4 |
| 4th row | 4 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 4 | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| 4 | 15848 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 15848 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 4 | 15848 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 15848 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 4 | 15848 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 15848 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 4 | 15848 |
County Code
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| 19 |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 31696 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 19 |
|---|---|
| 2nd row | 19 |
| 3rd row | 19 |
| 4th row | 19 |
| 5th row | 19 |
Common Values
| Value | Count | Frequency (%) |
| 19 | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 19 | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 15848 | |
| 9 | 15848 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 31696 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 15848 | |
| 9 | 15848 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 31696 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 15848 | |
| 9 | 15848 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 31696 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 15848 | |
| 9 | 15848 |
Site Num
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| 1011 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 63392 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1011 |
|---|---|
| 2nd row | 1011 |
| 3rd row | 1011 |
| 4th row | 1011 |
| 5th row | 1011 |
Common Values
| Value | Count | Frequency (%) |
| 1011 | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1011 | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 47544 | |
| 0 | 15848 | 25.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 63392 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 47544 | |
| 0 | 15848 | 25.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 63392 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 47544 | |
| 0 | 15848 | 25.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 63392 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 47544 | |
| 0 | 15848 | 25.0% |
Address
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| 1237 S. BEVERLY , TUCSON |
|---|
Length
| Max length | 24 |
|---|---|
| Median length | 24 |
| Mean length | 24 |
| Min length | 24 |
Characters and Unicode
| Total characters | 380352 |
|---|---|
| Distinct characters | 19 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1237 S. BEVERLY , TUCSON |
|---|---|
| 2nd row | 1237 S. BEVERLY , TUCSON |
| 3rd row | 1237 S. BEVERLY , TUCSON |
| 4th row | 1237 S. BEVERLY , TUCSON |
| 5th row | 1237 S. BEVERLY , TUCSON |
Common Values
| Value | Count | Frequency (%) |
| 1237 S. BEVERLY , TUCSON | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1237 | 15848 | |
| s | 15848 | |
| beverly | 15848 | |
| 15848 | ||
| tucson | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| 63392 | ||
| S | 31696 | 8.3% |
| E | 31696 | 8.3% |
| 1 | 15848 | 4.2% |
| L | 15848 | 4.2% |
| O | 15848 | 4.2% |
| C | 15848 | 4.2% |
| U | 15848 | 4.2% |
| T | 15848 | 4.2% |
| , | 15848 | 4.2% |
| Other values (9) | 142632 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 380352 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 63392 | ||
| S | 31696 | 8.3% |
| E | 31696 | 8.3% |
| 1 | 15848 | 4.2% |
| L | 15848 | 4.2% |
| O | 15848 | 4.2% |
| C | 15848 | 4.2% |
| U | 15848 | 4.2% |
| T | 15848 | 4.2% |
| , | 15848 | 4.2% |
| Other values (9) | 142632 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 380352 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 63392 | ||
| S | 31696 | 8.3% |
| E | 31696 | 8.3% |
| 1 | 15848 | 4.2% |
| L | 15848 | 4.2% |
| O | 15848 | 4.2% |
| C | 15848 | 4.2% |
| U | 15848 | 4.2% |
| T | 15848 | 4.2% |
| , | 15848 | 4.2% |
| Other values (9) | 142632 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 380352 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 63392 | ||
| S | 31696 | 8.3% |
| E | 31696 | 8.3% |
| 1 | 15848 | 4.2% |
| L | 15848 | 4.2% |
| O | 15848 | 4.2% |
| C | 15848 | 4.2% |
| U | 15848 | 4.2% |
| T | 15848 | 4.2% |
| , | 15848 | 4.2% |
| Other values (9) | 142632 |
State
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Arizona |
|---|
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 110936 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Arizona |
|---|---|
| 2nd row | Arizona |
| 3rd row | Arizona |
| 4th row | Arizona |
| 5th row | Arizona |
Common Values
| Value | Count | Frequency (%) |
| Arizona | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| arizona | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 15848 | |
| r | 15848 | |
| i | 15848 | |
| z | 15848 | |
| o | 15848 | |
| n | 15848 | |
| a | 15848 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 110936 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 15848 | |
| r | 15848 | |
| i | 15848 | |
| z | 15848 | |
| o | 15848 | |
| n | 15848 | |
| a | 15848 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 110936 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 15848 | |
| r | 15848 | |
| i | 15848 | |
| z | 15848 | |
| o | 15848 | |
| n | 15848 | |
| a | 15848 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 110936 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 15848 | |
| r | 15848 | |
| i | 15848 | |
| z | 15848 | |
| o | 15848 | |
| n | 15848 | |
| a | 15848 |
County
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Pima |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 63392 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Pima |
|---|---|
| 2nd row | Pima |
| 3rd row | Pima |
| 4th row | Pima |
| 5th row | Pima |
Common Values
| Value | Count | Frequency (%) |
| Pima | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| pima | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| P | 15848 | |
| i | 15848 | |
| m | 15848 | |
| a | 15848 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 63392 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| P | 15848 | |
| i | 15848 | |
| m | 15848 | |
| a | 15848 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 63392 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| P | 15848 | |
| i | 15848 | |
| m | 15848 | |
| a | 15848 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 63392 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| P | 15848 | |
| i | 15848 | |
| m | 15848 | |
| a | 15848 |
City
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Tucson |
|---|
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 95088 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Tucson |
|---|---|
| 2nd row | Tucson |
| 3rd row | Tucson |
| 4th row | Tucson |
| 5th row | Tucson |
Common Values
| Value | Count | Frequency (%) |
| Tucson | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| tucson | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| T | 15848 | |
| u | 15848 | |
| c | 15848 | |
| s | 15848 | |
| o | 15848 | |
| n | 15848 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 95088 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| T | 15848 | |
| u | 15848 | |
| c | 15848 | |
| s | 15848 | |
| o | 15848 | |
| n | 15848 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 95088 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| T | 15848 | |
| u | 15848 | |
| c | 15848 | |
| s | 15848 | |
| o | 15848 | |
| n | 15848 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 95088 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| T | 15848 | |
| u | 15848 | |
| c | 15848 | |
| s | 15848 | |
| o | 15848 | |
| n | 15848 |
Date Local
Date
| Distinct | 3962 |
|---|---|
| Distinct (%) | 25.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Minimum | 2000-01-01 00:00:00 |
|---|---|
| Maximum | 2010-12-31 00:00:00 |
Histogram with fixed size bins (bins=50)
NO2 Units
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Parts per billion |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 269416 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per billion |
|---|---|
| 2nd row | Parts per billion |
| 3rd row | Parts per billion |
| 4th row | Parts per billion |
| 5th row | Parts per billion |
Common Values
| Value | Count | Frequency (%) |
| Parts per billion | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| parts | 15848 | |
| per | 15848 | |
| billion | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
NO2 Mean
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 1138 |
|---|---|
| Distinct (%) | 7.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.813392 |
|---|---|
| Minimum | 1.75 |
| Maximum | 37.111111 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 1.75 |
|---|---|
| 5-th percentile | 6.333333 |
| Q1 | 9.916667 |
| median | 14.083333 |
| Q3 | 18.875 |
| 95-th percentile | 25.958333 |
| Maximum | 37.111111 |
| Range | 35.361111 |
| Interquartile range (IQR) | 8.958333 |
Descriptive statistics
| Standard deviation | 6.0622812 |
|---|---|
| Coefficient of variation (CV) | 0.4092433 |
| Kurtosis | -0.37652269 |
| Mean | 14.813392 |
| Median Absolute Deviation (MAD) | 4.36553 |
| Skewness | 0.49588527 |
| Sum | 234762.63 |
| Variance | 36.751254 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.138325482 × 10-9 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 13.958333 | 64 | 0.4% |
| 14.875 | 64 | 0.4% |
| 9.5 | 60 | 0.4% |
| 11 | 60 | 0.4% |
| 12.833333 | 56 | 0.4% |
| 12.166667 | 56 | 0.4% |
| 10.375 | 56 | 0.4% |
| 9.875 | 56 | 0.4% |
| 13.458333 | 52 | 0.3% |
| 9.666667 | 52 | 0.3% |
| Other values (1128) | 15272 |
| Value | Count | Frequency (%) |
| 1.75 | 4 | |
| 2.833333 | 4 | |
| 3.375 | 4 | |
| 3.391304 | 4 | |
| 3.541667 | 4 | |
| 3.545455 | 4 | |
| 3.583333 | 4 | |
| 3.791667 | 4 | |
| 3.875 | 4 | |
| 3.916667 | 4 |
| Value | Count | Frequency (%) |
| 37.111111 | 4 | |
| 36 | 4 | |
| 35.25 | 4 | |
| 34.130435 | 4 | |
| 34.041667 | 4 | |
| 33.25 | 4 | |
| 33.041667 | 4 | |
| 32.75 | 8 | |
| 32.583333 | 4 | |
| 32.458333 | 4 |
ACF and PACF
NO2 1st Max Value
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 139 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32.086068 |
|---|---|
| Minimum | 5 |
| Maximum | 75 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 24 |
| median | 33 |
| Q3 | 40 |
| 95-th percentile | 49 |
| Maximum | 75 |
| Range | 70 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 10.721615 |
|---|---|
| Coefficient of variation (CV) | 0.33415174 |
| Kurtosis | -0.42693519 |
| Mean | 32.086068 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | -0.064855878 |
| Sum | 508500 |
| Variance | 114.95304 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.429366209 × 10-14 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 38 | 580 | 3.7% |
| 39 | 572 | 3.6% |
| 37 | 572 | 3.6% |
| 35 | 560 | 3.5% |
| 36 | 556 | 3.5% |
| 33 | 536 | 3.4% |
| 41 | 520 | 3.3% |
| 34 | 516 | 3.3% |
| 32 | 492 | 3.1% |
| 29 | 480 | 3.0% |
| Other values (129) | 10464 |
| Value | Count | Frequency (%) |
| 5 | 8 | 0.1% |
| 6 | 20 | 0.1% |
| 7 | 20 | 0.1% |
| 8 | 40 | 0.3% |
| 9 | 88 | |
| 9.8 | 4 | < 0.1% |
| 10 | 100 | |
| 11 | 116 | |
| 12 | 168 | |
| 13 | 172 |
| Value | Count | Frequency (%) |
| 75 | 8 | |
| 69 | 4 | < 0.1% |
| 66 | 4 | < 0.1% |
| 64 | 8 | |
| 63.7 | 4 | < 0.1% |
| 63 | 8 | |
| 62 | 4 | < 0.1% |
| 61 | 4 | < 0.1% |
| 60 | 12 | |
| 59 | 8 |
ACF and PACF
NO2 1st Max Hour
Numeric time series
NON STATIONARY SEASONAL ZEROS
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.609288 |
|---|---|
| Minimum | 0 |
| Maximum | 23 |
| Zeros | 1628 |
| Zeros (%) | 10.3% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 19 |
| Q3 | 21 |
| 95-th percentile | 23 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.2098614 |
|---|---|
| Coefficient of variation (CV) | 0.56196177 |
| Kurtosis | -1.2098117 |
| Mean | 14.609288 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.68536687 |
| Sum | 231528 |
| Variance | 67.401824 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.746269519 × 10-27 |
Histogram with fixed size bins (bins=24)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 21 | 2160 | |
| 22 | 1996 | |
| 20 | 1776 | |
| 0 | 1628 | |
| 6 | 1484 | |
| 19 | 1416 | |
| 23 | 1212 | |
| 18 | 1184 | |
| 7 | 760 | 4.8% |
| 5 | 500 | 3.2% |
| Other values (14) | 1732 |
| Value | Count | Frequency (%) |
| 0 | 1628 | |
| 1 | 376 | 2.4% |
| 2 | 224 | 1.4% |
| 3 | 96 | 0.6% |
| 4 | 88 | 0.6% |
| 5 | 500 | 3.2% |
| 6 | 1484 | |
| 7 | 760 | |
| 8 | 228 | 1.4% |
| 9 | 100 | 0.6% |
| Value | Count | Frequency (%) |
| 23 | 1212 | |
| 22 | 1996 | |
| 21 | 2160 | |
| 20 | 1776 | |
| 19 | 1416 | |
| 18 | 1184 | |
| 17 | 412 | 2.6% |
| 16 | 56 | 0.4% |
| 15 | 44 | 0.3% |
| 14 | 8 | 0.1% |
ACF and PACF
NO2 AQI
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 60 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 30.273852 |
|---|---|
| Minimum | 5 |
| Maximum | 73 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 13 |
| Q1 | 23 |
| median | 31 |
| Q3 | 38 |
| 95-th percentile | 46 |
| Maximum | 73 |
| Range | 68 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 10.156321 |
|---|---|
| Coefficient of variation (CV) | 0.33548161 |
| Kurtosis | -0.3679722 |
| Mean | 30.273852 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | -0.061960753 |
| Sum | 479780 |
| Variance | 103.15085 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.077983109 × 10-14 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 25 | 768 | 4.8% |
| 42 | 756 | 4.8% |
| 36 | 608 | 3.8% |
| 37 | 588 | 3.7% |
| 35 | 588 | 3.7% |
| 33 | 576 | 3.6% |
| 31 | 564 | 3.6% |
| 34 | 564 | 3.6% |
| 32 | 532 | 3.4% |
| 39 | 520 | 3.3% |
| Other values (50) | 9784 |
| Value | Count | Frequency (%) |
| 5 | 8 | 0.1% |
| 6 | 20 | 0.1% |
| 7 | 20 | 0.1% |
| 8 | 132 | |
| 9 | 100 | |
| 10 | 116 | |
| 11 | 168 | |
| 12 | 176 | |
| 13 | 204 | |
| 14 | 232 |
| Value | Count | Frequency (%) |
| 73 | 8 | 0.1% |
| 67 | 4 | < 0.1% |
| 64 | 4 | < 0.1% |
| 62 | 8 | 0.1% |
| 61 | 12 | |
| 60 | 4 | < 0.1% |
| 58 | 4 | < 0.1% |
| 57 | 12 | |
| 56 | 8 | 0.1% |
| 55 | 20 |
ACF and PACF
O3 Units
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Parts per million |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 269416 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per million |
|---|---|
| 2nd row | Parts per million |
| 3rd row | Parts per million |
| 4th row | Parts per million |
| 5th row | Parts per million |
Common Values
| Value | Count | Frequency (%) |
| Parts per million | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| parts | 15848 | |
| per | 15848 | |
| million | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
O3 Mean
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 1030 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.027467133 |
|---|---|
| Minimum | 0.004458 |
| Maximum | 0.058167 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0.004458 |
|---|---|
| 5-th percentile | 0.011 |
| Q1 | 0.019583 |
| median | 0.027521 |
| Q3 | 0.034917 |
| 95-th percentile | 0.043833 |
| Maximum | 0.058167 |
| Range | 0.053709 |
| Interquartile range (IQR) | 0.015334 |
Descriptive statistics
| Standard deviation | 0.010185723 |
|---|---|
| Coefficient of variation (CV) | 0.37083312 |
| Kurtosis | -0.63999531 |
| Mean | 0.027467133 |
| Median Absolute Deviation (MAD) | 0.007688 |
| Skewness | 0.057629969 |
| Sum | 435.29913 |
| Variance | 0.00010374895 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.279270525 × 10-7 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 0.030375 | 60 | 0.4% |
| 0.023042 | 48 | 0.3% |
| 0.028917 | 44 | 0.3% |
| 0.026208 | 44 | 0.3% |
| 0.031083 | 44 | 0.3% |
| 0.031833 | 44 | 0.3% |
| 0.03425 | 44 | 0.3% |
| 0.037917 | 44 | 0.3% |
| 0.027417 | 44 | 0.3% |
| 0.0205 | 40 | 0.3% |
| Other values (1020) | 15392 |
| Value | Count | Frequency (%) |
| 0.004458 | 4 | |
| 0.004625 | 4 | |
| 0.004708 | 4 | |
| 0.00475 | 4 | |
| 0.004917 | 4 | |
| 0.005 | 4 | |
| 0.005125 | 4 | |
| 0.00525 | 4 | |
| 0.005292 | 4 | |
| 0.005308 | 4 |
| Value | Count | Frequency (%) |
| 0.058167 | 4 | |
| 0.057167 | 4 | |
| 0.056292 | 4 | |
| 0.056042 | 4 | |
| 0.055833 | 4 | |
| 0.055292 | 4 | |
| 0.054917 | 4 | |
| 0.054875 | 4 | |
| 0.054708 | 8 | |
| 0.0545 | 4 |
ACF and PACF
O3 1st Max Value
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 75 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.043848309 |
|---|---|
| Minimum | 0.007 |
| Maximum | 0.085 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0.007 |
|---|---|
| 5-th percentile | 0.024 |
| Q1 | 0.035 |
| median | 0.044 |
| Q3 | 0.053 |
| 95-th percentile | 0.064 |
| Maximum | 0.085 |
| Range | 0.078 |
| Interquartile range (IQR) | 0.018 |
Descriptive statistics
| Standard deviation | 0.012320265 |
|---|---|
| Coefficient of variation (CV) | 0.2809747 |
| Kurtosis | -0.30039261 |
| Mean | 0.043848309 |
| Median Absolute Deviation (MAD) | 0.009 |
| Skewness | -0.011116711 |
| Sum | 694.908 |
| Variance | 0.00015178894 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 9.120626494 × 10-8 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 0.037 | 520 | 3.3% |
| 0.049 | 492 | 3.1% |
| 0.039 | 488 | 3.1% |
| 0.046 | 484 | 3.1% |
| 0.053 | 472 | 3.0% |
| 0.045 | 468 | 3.0% |
| 0.052 | 468 | 3.0% |
| 0.04 | 468 | 3.0% |
| 0.042 | 464 | 2.9% |
| 0.038 | 460 | 2.9% |
| Other values (65) | 11064 |
| Value | Count | Frequency (%) |
| 0.007 | 4 | < 0.1% |
| 0.008 | 4 | < 0.1% |
| 0.009 | 12 | 0.1% |
| 0.01 | 12 | 0.1% |
| 0.011 | 4 | < 0.1% |
| 0.012 | 16 | 0.1% |
| 0.013 | 32 | |
| 0.014 | 28 | |
| 0.015 | 44 | |
| 0.016 | 60 |
| Value | Count | Frequency (%) |
| 0.085 | 4 | < 0.1% |
| 0.083 | 4 | < 0.1% |
| 0.08 | 4 | < 0.1% |
| 0.079 | 8 | 0.1% |
| 0.078 | 12 | 0.1% |
| 0.076 | 4 | < 0.1% |
| 0.075 | 44 | |
| 0.074 | 28 | |
| 0.073 | 32 | |
| 0.072 | 20 |
ACF and PACF
O3 1st Max Hour
Numeric time series
NON STATIONARY SEASONAL
| Distinct | 23 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.7809187 |
|---|---|
| Minimum | 0 |
| Maximum | 23 |
| Zeros | 128 |
| Zeros (%) | 0.8% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 9 |
| median | 10 |
| Q3 | 10 |
| 95-th percentile | 11 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.9101967 |
|---|---|
| Coefficient of variation (CV) | 0.19529829 |
| Kurtosis | 21.25303 |
| Mean | 9.7809187 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.6128452 |
| Sum | 155008 |
| Variance | 3.6488515 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.963315146 × 10-29 |
Histogram with fixed size bins (bins=23)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 10 | 6416 | |
| 9 | 5152 | |
| 11 | 2324 | 14.7% |
| 8 | 944 | 6.0% |
| 12 | 276 | 1.7% |
| 7 | 152 | 1.0% |
| 0 | 128 | 0.8% |
| 13 | 72 | 0.5% |
| 22 | 60 | 0.4% |
| 15 | 40 | 0.3% |
| Other values (13) | 284 | 1.8% |
| Value | Count | Frequency (%) |
| 0 | 128 | 0.8% |
| 1 | 16 | 0.1% |
| 2 | 8 | 0.1% |
| 3 | 20 | 0.1% |
| 5 | 12 | 0.1% |
| 6 | 28 | 0.2% |
| 7 | 152 | 1.0% |
| 8 | 944 | 6.0% |
| 9 | 5152 | |
| 10 | 6416 |
| Value | Count | Frequency (%) |
| 23 | 36 | |
| 22 | 60 | |
| 21 | 36 | |
| 20 | 36 | |
| 19 | 32 | |
| 18 | 4 | < 0.1% |
| 17 | 4 | < 0.1% |
| 16 | 16 | 0.1% |
| 15 | 40 | |
| 14 | 36 |
ACF and PACF
O3 AQI
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 67 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.393236 |
|---|---|
| Minimum | 6 |
| Maximum | 124 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 6 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 30 |
| median | 37 |
| Q3 | 45 |
| 95-th percentile | 64 |
| Maximum | 124 |
| Range | 118 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 13.635422 |
|---|---|
| Coefficient of variation (CV) | 0.35515168 |
| Kurtosis | 4.3510427 |
| Mean | 38.393236 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 1.4303327 |
| Sum | 608456 |
| Variance | 185.92474 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.51990373 × 10-11 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 31 | 944 | 6.0% |
| 42 | 904 | 5.7% |
| 36 | 872 | 5.5% |
| 47 | 748 | 4.7% |
| 25 | 532 | 3.4% |
| 33 | 488 | 3.1% |
| 39 | 484 | 3.1% |
| 45 | 472 | 3.0% |
| 34 | 468 | 3.0% |
| 44 | 468 | 3.0% |
| Other values (57) | 9468 |
| Value | Count | Frequency (%) |
| 6 | 4 | < 0.1% |
| 7 | 4 | < 0.1% |
| 8 | 24 | 0.2% |
| 9 | 4 | < 0.1% |
| 10 | 16 | 0.1% |
| 11 | 32 | 0.2% |
| 12 | 28 | 0.2% |
| 13 | 44 | |
| 14 | 92 | |
| 15 | 40 |
| Value | Count | Frequency (%) |
| 124 | 4 | < 0.1% |
| 119 | 4 | < 0.1% |
| 111 | 4 | < 0.1% |
| 109 | 8 | 0.1% |
| 106 | 12 | 0.1% |
| 101 | 4 | < 0.1% |
| 100 | 44 | |
| 97 | 28 | |
| 93 | 32 | |
| 90 | 20 |
ACF and PACF
SO2 Units
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Parts per billion |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 269416 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per billion |
|---|---|
| 2nd row | Parts per billion |
| 3rd row | Parts per billion |
| 4th row | Parts per billion |
| 5th row | Parts per billion |
Common Values
| Value | Count | Frequency (%) |
| Parts per billion | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| parts | 15848 | |
| per | 15848 | |
| billion | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
SO2 Mean
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL ZEROS
| Distinct | 690 |
|---|---|
| Distinct (%) | 4.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.95393062 |
|---|---|
| Minimum | 0 |
| Maximum | 7.625 |
| Zeros | 678 |
| Zeros (%) | 4.3% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.0375 |
| Q1 | 0.4375 |
| median | 0.875 |
| Q3 | 1.1875 |
| 95-th percentile | 2.385714 |
| Maximum | 7.625 |
| Range | 7.625 |
| Interquartile range (IQR) | 0.75 |
Descriptive statistics
| Standard deviation | 0.77151951 |
|---|---|
| Coefficient of variation (CV) | 0.80877948 |
| Kurtosis | 6.8196654 |
| Mean | 0.95393062 |
| Median Absolute Deviation (MAD) | 0.375 |
| Skewness | 1.9858395 |
| Sum | 15117.893 |
| Variance | 0.59524236 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.1593961 × 10-11 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 1 | 858 | 5.4% |
| 0 | 678 | 4.3% |
| 0.958333 | 228 | 1.4% |
| 1.125 | 222 | 1.4% |
| 1.083333 | 222 | 1.4% |
| 1.041667 | 222 | 1.4% |
| 0.75 | 204 | 1.3% |
| 0.916667 | 192 | 1.2% |
| 0.875 | 182 | 1.1% |
| 0.5 | 176 | 1.1% |
| Other values (680) | 12664 |
| Value | Count | Frequency (%) |
| 0 | 678 | |
| 0.004167 | 2 | < 0.1% |
| 0.008333 | 2 | < 0.1% |
| 0.0125 | 4 | < 0.1% |
| 0.016667 | 2 | < 0.1% |
| 0.020833 | 4 | < 0.1% |
| 0.022727 | 2 | < 0.1% |
| 0.025 | 6 | < 0.1% |
| 0.029167 | 2 | < 0.1% |
| 0.0375 | 142 | 0.9% |
| Value | Count | Frequency (%) |
| 7.625 | 2 | |
| 7.6125 | 2 | |
| 6.583333 | 2 | |
| 6.575 | 2 | |
| 5.625 | 2 | |
| 5.583333 | 2 | |
| 5.575 | 2 | |
| 5.55 | 2 | |
| 5.5 | 4 | |
| 5.475 | 2 |
ACF and PACF
SO2 1st Max Value
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL ZEROS
| Distinct | 68 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.3709112 |
|---|---|
| Minimum | 0 |
| Maximum | 27 |
| Zeros | 678 |
| Zeros (%) | 4.3% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.3 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 6.6 |
| Maximum | 27 |
| Range | 27 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.2127251 |
|---|---|
| Coefficient of variation (CV) | 0.9332805 |
| Kurtosis | 13.042475 |
| Mean | 2.3709112 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.762295 |
| Sum | 37574.2 |
| Variance | 4.8961526 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.972347918 × 10-17 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 1 | 4530 | |
| 2 | 2420 | |
| 3 | 1358 | 8.6% |
| 4 | 906 | 5.7% |
| 1.3 | 900 | 5.7% |
| 1.6 | 794 | 5.0% |
| 0 | 678 | 4.3% |
| 5 | 526 | 3.3% |
| 2.3 | 432 | 2.7% |
| 0.6 | 426 | 2.7% |
| Other values (58) | 2878 |
| Value | Count | Frequency (%) |
| 0 | 678 | |
| 0.1 | 26 | 0.2% |
| 0.2 | 24 | 0.2% |
| 0.3 | 308 | |
| 0.4 | 40 | 0.3% |
| 0.5 | 16 | 0.1% |
| 0.6 | 426 | |
| 0.7 | 28 | 0.2% |
| 0.8 | 24 | 0.2% |
| 0.9 | 28 | 0.2% |
| Value | Count | Frequency (%) |
| 27 | 2 | < 0.1% |
| 24 | 2 | < 0.1% |
| 23 | 2 | < 0.1% |
| 22 | 2 | < 0.1% |
| 21 | 2 | < 0.1% |
| 20 | 2 | < 0.1% |
| 19.3 | 2 | < 0.1% |
| 19 | 4 | |
| 18 | 6 | |
| 17 | 8 |
ACF and PACF
SO2 1st Max Hour
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL ZEROS
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.9435891 |
|---|---|
| Minimum | 0 |
| Maximum | 23 |
| Zeros | 1930 |
| Zeros (%) | 12.2% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3 |
| median | 10 |
| Q3 | 14 |
| 95-th percentile | 23 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 6.8581512 |
|---|---|
| Coefficient of variation (CV) | 0.68970581 |
| Kurtosis | -0.85349408 |
| Mean | 9.9435891 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 0.2294311 |
| Sum | 157586 |
| Variance | 47.034238 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.263201089 × 10-25 |
Histogram with fixed size bins (bins=24)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 11 | 2354 | |
| 0 | 1930 | |
| 8 | 1852 | |
| 2 | 1780 | |
| 14 | 1170 | 7.4% |
| 20 | 1020 | 6.4% |
| 23 | 894 | 5.6% |
| 9 | 568 | 3.6% |
| 10 | 564 | 3.6% |
| 17 | 532 | 3.4% |
| Other values (14) | 3184 |
| Value | Count | Frequency (%) |
| 0 | 1930 | |
| 1 | 186 | 1.2% |
| 2 | 1780 | |
| 3 | 76 | 0.5% |
| 4 | 52 | 0.3% |
| 5 | 276 | 1.7% |
| 6 | 328 | 2.1% |
| 7 | 494 | 3.1% |
| 8 | 1852 | |
| 9 | 568 | 3.6% |
| Value | Count | Frequency (%) |
| 23 | 894 | |
| 22 | 172 | 1.1% |
| 21 | 222 | 1.4% |
| 20 | 1020 | |
| 19 | 214 | 1.4% |
| 18 | 202 | 1.3% |
| 17 | 532 | |
| 16 | 108 | 0.7% |
| 15 | 116 | 0.7% |
| 14 | 1170 |
ACF and PACF
SO2 AQI
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 7924 |
| Missing (%) | 50.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.9565876 |
| Minimum | 0 |
|---|---|
| Maximum | 39 |
| Zeros | 456 |
| Zeros (%) | 2.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 11 |
| Maximum | 39 |
| Range | 39 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.859273 |
|---|---|
| Coefficient of variation (CV) | 0.97540441 |
| Kurtosis | 8.7921131 |
| Mean | 3.9565876 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.2771623 |
| Sum | 31352 |
| Variance | 14.893988 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 1 | 2486 | 15.7% |
| 3 | 1734 | 10.9% |
| 4 | 1060 | 6.7% |
| 6 | 740 | 4.7% |
| 7 | 462 | 2.9% |
| 0 | 456 | 2.9% |
| 9 | 322 | 2.0% |
| 10 | 190 | 1.2% |
| 11 | 172 | 1.1% |
| 13 | 92 | 0.6% |
| Other values (16) | 210 | 1.3% |
| (Missing) | 7924 |
| Value | Count | Frequency (%) |
| 0 | 456 | 2.9% |
| 1 | 2486 | |
| 3 | 1734 | |
| 4 | 1060 | |
| 6 | 740 | 4.7% |
| 7 | 462 | 2.9% |
| 9 | 322 | 2.0% |
| 10 | 190 | 1.2% |
| 11 | 172 | 1.1% |
| 13 | 92 | 0.6% |
| Value | Count | Frequency (%) |
| 39 | 2 | < 0.1% |
| 34 | 2 | < 0.1% |
| 33 | 2 | < 0.1% |
| 31 | 2 | < 0.1% |
| 30 | 2 | < 0.1% |
| 29 | 2 | < 0.1% |
| 27 | 4 | |
| 26 | 6 | |
| 24 | 8 | |
| 23 | 8 |
CO Units
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 247.6 KiB |
| Parts per million |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 269416 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per million |
|---|---|
| 2nd row | Parts per million |
| 3rd row | Parts per million |
| 4th row | Parts per million |
| 5th row | Parts per million |
Common Values
| Value | Count | Frequency (%) |
| Parts per million | 15848 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| parts | 15848 | |
| per | 15848 | |
| million | 15848 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 269416 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 31696 | |
| 31696 | ||
| i | 31696 | |
| l | 31696 | |
| P | 15848 | 5.9% |
| a | 15848 | 5.9% |
| t | 15848 | 5.9% |
| s | 15848 | 5.9% |
| p | 15848 | 5.9% |
| e | 15848 | 5.9% |
| Other values (3) | 47544 |
CO Mean
Numeric time series
HIGH CORRELATION NON STATIONARY SEASONAL
| Distinct | 446 |
|---|---|
| Distinct (%) | 2.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.35347102 |
|---|---|
| Minimum | 0 |
| Maximum | 1.3625 |
| Zeros | 4 |
| Zeros (%) | < 0.1% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.166667 |
| Q1 | 0.241667 |
| median | 0.316667 |
| Q3 | 0.429167 |
| 95-th percentile | 0.6625 |
| Maximum | 1.3625 |
| Range | 1.3625 |
| Interquartile range (IQR) | 0.1875 |
Descriptive statistics
| Standard deviation | 0.16011454 |
|---|---|
| Coefficient of variation (CV) | 0.45297784 |
| Kurtosis | 2.8355115 |
| Mean | 0.35347102 |
| Median Absolute Deviation (MAD) | 0.0875 |
| Skewness | 1.39186 |
| Sum | 5601.8088 |
| Variance | 0.025636666 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.540132146 × 10-9 |
Histogram with fixed size bins (bins=50)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 0.2 | 444 | 2.8% |
| 0.266667 | 290 | 1.8% |
| 0.3 | 268 | 1.7% |
| 0.241667 | 262 | 1.7% |
| 0.2625 | 240 | 1.5% |
| 0.233333 | 226 | 1.4% |
| 0.254167 | 218 | 1.4% |
| 0.220833 | 216 | 1.4% |
| 0.258333 | 212 | 1.3% |
| 0.229167 | 208 | 1.3% |
| Other values (436) | 13264 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 0.004167 | 2 | |
| 0.008333 | 4 | |
| 0.016667 | 2 | |
| 0.020833 | 2 | |
| 0.025 | 2 | |
| 0.029167 | 2 | |
| 0.0375 | 4 | |
| 0.041667 | 4 | |
| 0.045833 | 4 |
| Value | Count | Frequency (%) |
| 1.3625 | 2 | |
| 1.341667 | 2 | |
| 1.3125 | 2 | |
| 1.179167 | 2 | |
| 1.175 | 2 | |
| 1.170833 | 2 | |
| 1.166667 | 2 | |
| 1.156522 | 2 | |
| 1.120833 | 2 | |
| 1.1125 | 2 |
ACF and PACF
CO 1st Max Value
Real number (ℝ)
HIGH CORRELATION
| Distinct | 47 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.70338213 |
| Minimum | 0 |
|---|---|
| Maximum | 5.4 |
| Zeros | 4 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.2 |
| Q1 | 0.4 |
| median | 0.6 |
| Q3 | 0.825 |
| 95-th percentile | 1.7 |
| Maximum | 5.4 |
| Range | 5.4 |
| Interquartile range (IQR) | 0.425 |
Descriptive statistics
| Standard deviation | 0.50552689 |
|---|---|
| Coefficient of variation (CV) | 0.71870875 |
| Kurtosis | 9.8892721 |
| Mean | 0.70338213 |
| Median Absolute Deviation (MAD) | 0.2 |
| Skewness | 2.5119996 |
| Sum | 11147.2 |
| Variance | 0.25555744 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 0.4 | 2318 | |
| 0.3 | 2318 | |
| 0.5 | 2138 | |
| 0.6 | 1724 | |
| 0.7 | 1326 | |
| 0.8 | 1064 | |
| 0.2 | 960 | |
| 0.9 | 786 | 5.0% |
| 1 | 550 | 3.5% |
| 1.1 | 512 | 3.2% |
| Other values (37) | 2152 |
| Value | Count | Frequency (%) |
| 0 | 4 | < 0.1% |
| 0.1 | 34 | 0.2% |
| 0.2 | 960 | |
| 0.3 | 2318 | |
| 0.4 | 2318 | |
| 0.5 | 2138 | |
| 0.6 | 1724 | |
| 0.7 | 1326 | |
| 0.8 | 1064 | |
| 0.9 | 786 | 5.0% |
| Value | Count | Frequency (%) |
| 5.4 | 4 | |
| 5 | 2 | < 0.1% |
| 4.8 | 2 | < 0.1% |
| 4.4 | 2 | < 0.1% |
| 4.3 | 2 | < 0.1% |
| 4.2 | 2 | < 0.1% |
| 4.1 | 2 | < 0.1% |
| 3.9 | 2 | < 0.1% |
| 3.8 | 6 | |
| 3.7 | 4 |
CO 1st Max Hour
Real number (ℝ)
ZEROS
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.2689298 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 4740 |
| Zeros (%) | 29.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 7 |
| Q3 | 20 |
| 95-th percentile | 23 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 8.857153 |
|---|---|
| Coefficient of variation (CV) | 0.9555745 |
| Kurtosis | -1.4572977 |
| Mean | 9.2689298 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.43173809 |
| Sum | 146894 |
| Variance | 78.449159 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 0 | 4740 | |
| 6 | 1614 | 10.2% |
| 7 | 1544 | 9.7% |
| 22 | 1290 | 8.1% |
| 23 | 1124 | 7.1% |
| 21 | 1026 | 6.5% |
| 20 | 844 | 5.3% |
| 5 | 618 | 3.9% |
| 19 | 576 | 3.6% |
| 8 | 564 | 3.6% |
| Other values (14) | 1908 |
| Value | Count | Frequency (%) |
| 0 | 4740 | |
| 1 | 522 | 3.3% |
| 2 | 220 | 1.4% |
| 3 | 84 | 0.5% |
| 4 | 68 | 0.4% |
| 5 | 618 | 3.9% |
| 6 | 1614 | 10.2% |
| 7 | 1544 | 9.7% |
| 8 | 564 | 3.6% |
| 9 | 188 | 1.2% |
| Value | Count | Frequency (%) |
| 23 | 1124 | |
| 22 | 1290 | |
| 21 | 1026 | |
| 20 | 844 | |
| 19 | 576 | |
| 18 | 296 | 1.9% |
| 17 | 92 | 0.6% |
| 16 | 36 | 0.2% |
| 15 | 28 | 0.2% |
| 14 | 6 | < 0.1% |
CO AQI
Numeric time series
HIGH CORRELATION MISSING NON STATIONARY SEASONAL
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 7924 |
| Missing (%) | 50.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.272842 |
|---|---|
| Minimum | 0 |
| Maximum | 31 |
| Zeros | 2 |
| Zeros (%) | < 0.1% |
| Memory size | 247.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 13 |
| Maximum | 31 |
| Range | 31 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.5417867 |
|---|---|
| Coefficient of variation (CV) | 0.56462233 |
| Kurtosis | 4.0889428 |
| Mean | 6.272842 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.5383985 |
| Sum | 49706 |
| Variance | 12.544253 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.845126501 × 10-5 |
Histogram with fixed size bins (bins=26)
Gap statistics
| number of gaps | 13 |
|---|---|
| min | 3 days |
| max | 1 week and 1 day |
| mean | 5 days, 5 hours and 32 minutes |
| std | 1 day, 16 hours and 34 minutes |
| Value | Count | Frequency (%) |
| 3 | 1536 | 9.7% |
| 5 | 1396 | 8.8% |
| 6 | 1188 | 7.5% |
| 7 | 842 | 5.3% |
| 2 | 710 | 4.5% |
| 8 | 674 | 4.3% |
| 9 | 472 | 3.0% |
| 10 | 344 | 2.2% |
| 13 | 184 | 1.2% |
| 11 | 180 | 1.1% |
| Other values (16) | 398 | 2.5% |
| (Missing) | 7924 |
| Value | Count | Frequency (%) |
| 0 | 2 | < 0.1% |
| 1 | 24 | 0.2% |
| 2 | 710 | |
| 3 | 1536 | |
| 5 | 1396 | |
| 6 | 1188 | |
| 7 | 842 | |
| 8 | 674 | |
| 9 | 472 | 3.0% |
| 10 | 344 | 2.2% |
| Value | Count | Frequency (%) |
| 31 | 4 | < 0.1% |
| 27 | 2 | < 0.1% |
| 26 | 2 | < 0.1% |
| 25 | 2 | < 0.1% |
| 24 | 4 | < 0.1% |
| 23 | 8 | 0.1% |
| 22 | 16 | |
| 20 | 18 | |
| 19 | 12 | 0.1% |
| 18 | 38 |
ACF and PACF
| CO 1st Max Hour | CO 1st Max Value | CO AQI | CO Mean | NO2 1st Max Hour | NO2 1st Max Value | NO2 AQI | NO2 Mean | O3 1st Max Hour | O3 1st Max Value | O3 AQI | O3 Mean | SO2 1st Max Hour | SO2 1st Max Value | SO2 AQI | SO2 Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CO 1st Max Hour | 1.000 | 0.380 | 0.272 | 0.193 | 0.324 | 0.357 | 0.357 | 0.277 | -0.059 | -0.110 | -0.110 | -0.227 | 0.147 | 0.074 | 0.064 | 0.084 |
| CO 1st Max Value | 0.380 | 1.000 | 1.000 | 0.838 | 0.102 | 0.697 | 0.697 | 0.752 | -0.116 | -0.396 | -0.396 | -0.580 | 0.248 | 0.370 | 0.348 | 0.403 |
| CO AQI | 0.272 | 1.000 | 1.000 | 0.913 | 0.050 | 0.690 | 0.691 | 0.783 | -0.142 | -0.447 | -0.447 | -0.618 | 0.262 | 0.396 | 0.373 | 0.433 |
| CO Mean | 0.193 | 0.838 | 0.913 | 1.000 | 0.066 | 0.650 | 0.651 | 0.795 | -0.103 | -0.417 | -0.416 | -0.588 | 0.232 | 0.392 | 0.379 | 0.413 |
| NO2 1st Max Hour | 0.324 | 0.102 | 0.050 | 0.066 | 1.000 | 0.298 | 0.298 | 0.192 | 0.096 | 0.052 | 0.052 | -0.125 | 0.078 | -0.020 | -0.023 | -0.008 |
| NO2 1st Max Value | 0.357 | 0.697 | 0.690 | 0.650 | 0.298 | 1.000 | 1.000 | 0.827 | -0.015 | -0.121 | -0.121 | -0.410 | 0.269 | 0.321 | 0.302 | 0.366 |
| NO2 AQI | 0.357 | 0.697 | 0.691 | 0.651 | 0.298 | 1.000 | 1.000 | 0.826 | -0.015 | -0.120 | -0.120 | -0.409 | 0.268 | 0.322 | 0.303 | 0.367 |
| NO2 Mean | 0.277 | 0.752 | 0.783 | 0.795 | 0.192 | 0.827 | 0.826 | 1.000 | -0.055 | -0.396 | -0.396 | -0.666 | 0.278 | 0.372 | 0.353 | 0.418 |
| O3 1st Max Hour | -0.059 | -0.116 | -0.142 | -0.103 | 0.096 | -0.015 | -0.015 | -0.055 | 1.000 | 0.313 | 0.313 | 0.223 | -0.067 | -0.035 | -0.025 | -0.077 |
| O3 1st Max Value | -0.110 | -0.396 | -0.447 | -0.417 | 0.052 | -0.121 | -0.120 | -0.396 | 0.313 | 1.000 | 1.000 | 0.888 | -0.127 | -0.162 | -0.139 | -0.184 |
| O3 AQI | -0.110 | -0.396 | -0.447 | -0.416 | 0.052 | -0.121 | -0.120 | -0.396 | 0.313 | 1.000 | 1.000 | 0.888 | -0.127 | -0.161 | -0.139 | -0.184 |
| O3 Mean | -0.227 | -0.580 | -0.618 | -0.588 | -0.125 | -0.410 | -0.409 | -0.666 | 0.223 | 0.888 | 0.888 | 1.000 | -0.229 | -0.255 | -0.230 | -0.292 |
| SO2 1st Max Hour | 0.147 | 0.248 | 0.262 | 0.232 | 0.078 | 0.269 | 0.268 | 0.278 | -0.067 | -0.127 | -0.127 | -0.229 | 1.000 | 0.401 | 0.520 | 0.204 |
| SO2 1st Max Value | 0.074 | 0.370 | 0.396 | 0.392 | -0.020 | 0.321 | 0.322 | 0.372 | -0.035 | -0.162 | -0.161 | -0.255 | 0.401 | 1.000 | 0.999 | 0.767 |
| SO2 AQI | 0.064 | 0.348 | 0.373 | 0.379 | -0.023 | 0.302 | 0.303 | 0.353 | -0.025 | -0.139 | -0.139 | -0.230 | 0.520 | 0.999 | 1.000 | 0.732 |
| SO2 Mean | 0.084 | 0.403 | 0.433 | 0.413 | -0.008 | 0.366 | 0.367 | 0.418 | -0.077 | -0.184 | -0.184 | -0.292 | 0.204 | 0.767 | 0.732 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| State Code | County Code | Site Num | Address | State | County | City | Date Local | NO2 Units | NO2 Mean | NO2 1st Max Value | NO2 1st Max Hour | NO2 AQI | O3 Units | O3 Mean | O3 1st Max Value | O3 1st Max Hour | O3 AQI | SO2 Units | SO2 Mean | SO2 1st Max Value | SO2 1st Max Hour | SO2 AQI | CO Units | CO Mean | CO 1st Max Value | CO 1st Max Hour | CO AQI | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01-01 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-01 | Parts per billion | 15.208333 | 38.0 | 19 | 36 | Parts per million | 0.022917 | 0.039 | 9 | 33 | Parts per billion | 1.833333 | 4.0 | 8 | 6.0 | Parts per million | 0.383333 | 1.3 | 19 | NaN |
| 2000-01-01 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-01 | Parts per billion | 15.208333 | 38.0 | 19 | 36 | Parts per million | 0.022917 | 0.039 | 9 | 33 | Parts per billion | 1.833333 | 4.0 | 8 | 6.0 | Parts per million | 0.321053 | 0.7 | 23 | 8.0 |
| 2000-01-01 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-01 | Parts per billion | 15.208333 | 38.0 | 19 | 36 | Parts per million | 0.022917 | 0.039 | 9 | 33 | Parts per billion | 1.812500 | 2.3 | 2 | NaN | Parts per million | 0.383333 | 1.3 | 19 | NaN |
| 2000-01-01 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-01 | Parts per billion | 15.208333 | 38.0 | 19 | 36 | Parts per million | 0.022917 | 0.039 | 9 | 33 | Parts per billion | 1.812500 | 2.3 | 2 | NaN | Parts per million | 0.321053 | 0.7 | 23 | 8.0 |
| 2000-01-02 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-02 | Parts per billion | 18.500000 | 38.0 | 19 | 36 | Parts per million | 0.015708 | 0.031 | 10 | 26 | Parts per billion | 1.375000 | 2.0 | 7 | 3.0 | Parts per million | 0.331250 | 0.7 | 8 | NaN |
| 2000-01-02 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-02 | Parts per billion | 18.500000 | 38.0 | 19 | 36 | Parts per million | 0.015708 | 0.031 | 10 | 26 | Parts per billion | 1.375000 | 2.0 | 7 | 3.0 | Parts per million | 0.438889 | 0.8 | 1 | 9.0 |
| 2000-01-02 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-02 | Parts per billion | 18.500000 | 38.0 | 19 | 36 | Parts per million | 0.015708 | 0.031 | 10 | 26 | Parts per billion | 1.362500 | 2.0 | 11 | NaN | Parts per million | 0.331250 | 0.7 | 8 | NaN |
| 2000-01-02 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-02 | Parts per billion | 18.500000 | 38.0 | 19 | 36 | Parts per million | 0.015708 | 0.031 | 10 | 26 | Parts per billion | 1.362500 | 2.0 | 11 | NaN | Parts per million | 0.438889 | 0.8 | 1 | 9.0 |
| 2000-01-04 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-04 | Parts per billion | 31.521739 | 42.0 | 10 | 40 | Parts per million | 0.013417 | 0.023 | 8 | 19 | Parts per billion | 2.333333 | 4.0 | 18 | 6.0 | Parts per million | 0.925000 | 1.9 | 19 | NaN |
| 2000-01-04 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2000-01-04 | Parts per billion | 31.521739 | 42.0 | 10 | 40 | Parts per million | 0.013417 | 0.023 | 8 | 19 | Parts per billion | 2.333333 | 4.0 | 18 | 6.0 | Parts per million | 1.014286 | 1.1 | 20 | 13.0 |
| State Code | County Code | Site Num | Address | State | County | City | Date Local | NO2 Units | NO2 Mean | NO2 1st Max Value | NO2 1st Max Hour | NO2 AQI | O3 Units | O3 Mean | O3 1st Max Value | O3 1st Max Hour | O3 AQI | SO2 Units | SO2 Mean | SO2 1st Max Value | SO2 1st Max Hour | SO2 AQI | CO Units | CO Mean | CO 1st Max Value | CO 1st Max Hour | CO AQI | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-12-29 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-29 | Parts per billion | 12.934783 | 30.5 | 0 | 28 | Parts per million | 0.029958 | 0.038 | 20 | 32 | Parts per billion | 0.330435 | 0.6 | 9 | 0.0 | Parts per million | 0.226087 | 0.6 | 8 | NaN |
| 2010-12-29 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-29 | Parts per billion | 12.934783 | 30.5 | 0 | 28 | Parts per million | 0.029958 | 0.038 | 20 | 32 | Parts per billion | 0.330435 | 0.6 | 9 | 0.0 | Parts per million | 0.325000 | 0.7 | 0 | 8.0 |
| 2010-12-30 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-30 | Parts per billion | 10.854167 | 38.2 | 21 | 36 | Parts per million | 0.026500 | 0.037 | 9 | 31 | Parts per billion | 0.212500 | 0.3 | 5 | NaN | Parts per million | 0.229167 | 0.5 | 21 | NaN |
| 2010-12-30 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-30 | Parts per billion | 10.854167 | 38.2 | 21 | 36 | Parts per million | 0.026500 | 0.037 | 9 | 31 | Parts per billion | 0.212500 | 0.3 | 5 | NaN | Parts per million | 0.191667 | 0.4 | 23 | 5.0 |
| 2010-12-30 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-30 | Parts per billion | 10.854167 | 38.2 | 21 | 36 | Parts per million | 0.026500 | 0.037 | 9 | 31 | Parts per billion | 0.250000 | 0.3 | 3 | 0.0 | Parts per million | 0.229167 | 0.5 | 21 | NaN |
| 2010-12-30 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-30 | Parts per billion | 10.854167 | 38.2 | 21 | 36 | Parts per million | 0.026500 | 0.037 | 9 | 31 | Parts per billion | 0.250000 | 0.3 | 3 | 0.0 | Parts per million | 0.191667 | 0.4 | 23 | 5.0 |
| 2010-12-31 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-31 | Parts per billion | 19.091667 | 31.2 | 7 | 29 | Parts per million | 0.018684 | 0.030 | 11 | 25 | Parts per billion | 0.266667 | 0.4 | 14 | 0.0 | Parts per million | 0.350000 | 0.4 | 0 | 5.0 |
| 2010-12-31 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-31 | Parts per billion | 19.091667 | 31.2 | 7 | 29 | Parts per million | 0.018684 | 0.030 | 11 | 25 | Parts per billion | 0.250000 | 0.3 | 8 | NaN | Parts per million | 0.333333 | 0.8 | 7 | NaN |
| 2010-12-31 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-31 | Parts per billion | 19.091667 | 31.2 | 7 | 29 | Parts per million | 0.018684 | 0.030 | 11 | 25 | Parts per billion | 0.266667 | 0.4 | 14 | 0.0 | Parts per million | 0.333333 | 0.8 | 7 | NaN |
| 2010-12-31 | 4 | 19 | 1011 | 1237 S. BEVERLY , TUCSON | Arizona | Pima | Tucson | 2010-12-31 | Parts per billion | 19.091667 | 31.2 | 7 | 29 | Parts per million | 0.018684 | 0.030 | 11 | 25 | Parts per billion | 0.250000 | 0.3 | 8 | NaN | Parts per million | 0.350000 | 0.4 | 0 | 5.0 |